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Lookup NU author(s): Dr Rafal Wrobel
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This paper describes the use of a particle swarm optimisation (PSO) algorithm in the design optimisation of two surface magnet brushless machines. Two PSO algorithms are presented: the global best PSO (gbest PSO) and local best PSO (lbest PSO). The aim is to determine the multi-polar permanent magnet (PM) array that maximises the motor's output. Two parameters are optimised: the arc lengths and the directions of magnetisation of the PM segments. The proposed optimisation system combines a two-dimensional (2D) finite element method (FEM) with a PSO algorithm. The objective function used in the optimisation procedure is based on maximising phase flux linkage for a given volume of permanent magnet. The calculation results are compared with radial, uniform and discrete sinusoidal Halbach magnetisations of the rotor. © 2006 IEEE.
Author(s): Wrobel R, Mellor PH
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Year of Conference: 2006
Online publication date: 11/12/2006